☰

Regression Models: Censored, Sample Selected, or Truncated Data (Quantitative Applications in the Social Sciences)

R 1,260

or 4 x payments of R315.00 with Payflex

Availability: Currently in Stock

Delivery: 10-20 working days

Regression Models: Censored, Sample Selected, or Truncated Data (Quantitative Applications in the Social Sciences)

What techniques can social scientists use when an outcome variable for a sample is not representative of the population for whom they would like to generalize the results? This book provides an introduction to regression models for such data including censored, sample-selected and truncated data.

You might also like...

Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models (Quantitative Applications in the Social Sciences)

Logistic Regression: A Primer (Quantitative Applications in the Social Sciences)

Regression with Dummy Variables (Quantitative Applications in the Social Sciences)

Mostly Harmless Econometrics: An Empiricist's Companion

Fixed Effects Regression Models (Quantitative Applications in the Social Sciences)

Regression Models for Categorical and Limited Dependent Variables (Advanced Quantitative Techniques in the Social Sciences)

Multilevel Modeling (Quantitative Applications in the Social Sciences)

Interaction Effects in Logistic Regression (Quantitative Applications in the Social Sciences)

Regression Models for Categorical Dependent Variables Using Stata, Third Edition

Understanding Regression Assumptions (Quantitative Applications in the Social Sciences)